Skip to main content

Agreement Technologies Applied to Transmission Towers Maintenance

  • Conference paper
  • First Online:
Multi-Agent Systems and Agreement Technologies (EUMAS 2015, AT 2015)

Abstract

In the context of Smart Cities, one of the main indispensable elements required by a city is the electric power, for which electric towers are used to distribute it. Transmission towers have electrodes which need to be reviewed on a regular basis by controlling its resistance in order to assure avoidable malfunctions not to appear. From the point of view of Smart Cities, it is possible to address this maintenance task by trying to minimize the cost of operation through the estimation of values and the reduction of the size of the population sample. To do so, the use of an intelligent-agent virtual-organization based architecture is proposed within this working environment, which by using mathematical estimation models and agreement based negotiations it is capable of maximizing the estimations, minimizing the associated cost. The proposed model is evaluated in a simulator through a real case study, which allows validating the proposed approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Badri, A., Niazi, A.N., Hoseini, S.M.: Long term preventive generation maintenance scheduling with network constraints. Energy Procedia 14, 1889–1895 (2012)

    Article  Google Scholar 

  2. de Faria, H., Costa, J.G.S., Olivas, J.L.M.: A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis. Renew. Sustain. Energy Rev. 46, 201–209 (2015)

    Article  Google Scholar 

  3. Do, P., Voisin, A., Levrat, E., Iung, B.: A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions. Reliab. Eng. Syst. Safe. 133, 22–32 (2015)

    Article  Google Scholar 

  4. España. Real Decreto-ley 1955/2000, de 1 de diciembre, por el que se regulan las actividades de transporte, distribución, comercialización, suministro y procedimientos de autorización de instalaciones de energía eléctrica. Boletín Oficial del Estado, 27 de diciembre de 2000, núm. 310. http://www.boe.es/buscar/pdf/2000/BOE-A-2000-24019-consolidado.pdf. Accessed 10 Sept. 2015

  5. Feng, Y., Wu, W., Zhang, B., Gao, J.: Transmission line maintenance scheduling considering both randomness and fuzziness. J. Uncertain Syst. 5(4), 243–256 (2011)

    Google Scholar 

  6. FIPA: Communicative Act Library Specification (2002). http://www.fipa.org. Accessed 10 Sept. 2015

  7. Heras, S.: Case-based argumentation framework for agent societies. Ph.D. thesis, Universitat Politècnica de València (2011). http://hdl.handle.net/10251/12497

  8. Jennings, N.R., Faratin, P., Lomuscio, A.R., Parsons, S., Wooldridge, M.J., Sierra, C.: Automated negotiation: prospects, methods and challenges. Group Decis. Negot. 10(2), 199–215 (2001)

    Article  Google Scholar 

  9. Ji, K., Rui, X., Li, L., Leblond, A., McClure, G.: A novel ice-shedding model for overhead power line conductors with the consideration of adhesive/cohesive forces. Comput. Struct. 157, 153–164 (2015)

    Article  Google Scholar 

  10. Krishnanand, K.R., Dash, P.K., Naeem, M.H.: Detection, classification, and location of faults in power transmission lines. Int. J. Electr. Power Energy Syst. 67, 76–86 (2015)

    Article  Google Scholar 

  11. Lee, D.T., Schachter, B.J.: Two algorithms for constructing a Delaunay triangulation. Int. J. Comput. Inform. Sci. 9(3), 219–242 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  12. Mayfield, J., Labrou, Y., Finin, T.: Evaluation of KQML as an agent communication language. In: Tambe, M., Müller, J., Wooldridge, M.J. (eds.) IJCAI-WS 1995 and ATAL 1995. LNCS, vol. 1037, pp. 347–360. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  13. Murugan, R., Ramasamy, R.: Failure analysis of power transformer for effective maintenance planning in electric utilities. Eng. Fail. Anal. 55, 182–192 (2015)

    Article  Google Scholar 

  14. Ree.es: Gestor de la red y transportista | Red Eléctrica de España (2015). http://www.ree.es/es/actividades/gestor-de-la-red-y-transportista. Accessed 10 Sep. 2015

  15. Sánchez, A., Villarrubia, G., Zato, C., Rodríguez, S., Chamoso, P.: A gateway protocol based on FIPA-ACL for the new agent platform PANGEA. In: Bajo Pérez, J., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. AISC, vol. 221, pp. 41–51. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  16. Taher, S.A., Sadeghkhani, I.: Estimation of magnitude and time duration of temporary overvoltages using ANN in transmission lines during power system restoration. Simul. Model. Pract. Theory 18(6), 787–805 (2010)

    Article  Google Scholar 

  17. Trappey, A.J., Trappey, C.V., Ma, L., Chang, J.C.: Intelligent engineering asset management system for power transformer maintenance decision supports under various operating conditions. Comput. Ind. Eng. 84, 3–11 (2015)

    Article  Google Scholar 

  18. Wenner, F.: A method for measuring earth resistivity. J. Franklin Inst. 180(3), 373–375 (1915)

    Article  Google Scholar 

  19. Zarnani, A., Musilek, P., Shi, X., Ke, X., He, H., Greiner, R.: Learning to predict ice accretion on electric power lines. Eng. Appl. Artif. Intell. 25(3), 609–617 (2012)

    Article  Google Scholar 

  20. Zato, C., Villarrubia, G., Sánchez, A., Barri, I., Rubión, E., Fernández, A., Rebate, C., Cabo, J.A., Álamos, T., Sanz, J., Seco, J., Bajo, J., Corchado, J.M.: PANGEA – Platform for Automatic coNstruction of orGanizations of intElligent Agents. In: Omatu, S., Paz Santana, J.F., González, S.R., Molina, J.M., Bernardos, A.M., Rodríguez, J.M. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 151, pp. 229–240. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  21. Zhou, D., Zhang, H., Weng, S.: A novel prognostic model of performance degradation trend for power machinery maintenance. Energy 78, 740–746 (2014)

    Article  Google Scholar 

Download references

Acknowledgements

TABÓN Project is a research project sponsored by the companies Iberdrola Distribución de Energía S.A., Iberdrola S.A. and ATISAE, and funded by the EEA Grants and Norway Grants (IDI-20140885).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pablo Chamoso .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Chamoso, P., De la Prieta, F., De Paz Santana, J.F., Bajo Pérez, J., Belacortu Arandia, I. (2016). Agreement Technologies Applied to Transmission Towers Maintenance. In: Rovatsos, M., Vouros, G., Julian, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2015 2015. Lecture Notes in Computer Science(), vol 9571. Springer, Cham. https://doi.org/10.1007/978-3-319-33509-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33509-4_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33508-7

  • Online ISBN: 978-3-319-33509-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics